Automatic analysis of macroarrays images

机译：自动分析宏阵列图像

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The analysis of dot blot (macroarray) images is currently based on the human identification of positiveegative dots, which is a subjective and time consuming process. This paper presents a system for the automatic analysis of dot blot images, using a pre-defined grid of markers, including a number of ON and OFF controls. The geometric deformations of the input image are corrected, and the individual markers detected, both tasks fully automatically. Based on a previous training stage, the probability for each marker to be ON is established. This information is provided together with quality parameters for training, noise and classification, allowing for a fully automatic evaluation of a dot blot image.

机译：点印迹（宏阵列）图像的分析当前基于人类对正/负点的识别，这是一个主观且耗时的过程。本文介绍了一种使用预先定义的标记网格（包括多个ON和OFF控件）自动分析斑点印迹图像的系统。校正输入图像的几何变形，并检测单个标记，这两项任务都是自动完成的。基于先前的训练阶段，确定每个标记都为ON的概率。此信息与用于训练，噪声和分类的质量参数一起提供，从而允许对斑点印迹图像进行全自动评估。

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《32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society》|2010年|p.6122-6125|共4页
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Caridade C.M.R.; Marcal A.R.S.; Mendonca T.; Albuquerque P.; Mendes M.V.; Tavares F.;
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中图分类生物工程学（生物技术）;
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Automatic analysis of macroarrays images

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